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Hackers Can Use Ultrasonic Waves to Secretly Control Voice Assistant Devices

#artificialintelligence

Researchers have discovered a new means to target voice-controlled devices by propagating ultrasonic waves through solid materials in order to interact with and compromise them using inaudible voice commands without the victims' knowledge. Called "SurfingAttack," the attack leverages the unique properties of acoustic transmission in solid materials -- such as tables -- to "enable multiple rounds of interactions between the voice-controlled device and the attacker over a longer distance and without the need to be in line-of-sight." In doing so, it's possible for an attacker to interact with the devices using the voice assistants, hijack SMS two-factor authentication codes, and even place fraudulent calls, the researchers outlined in the paper, thus controlling the victim device inconspicuously. The research was published by a group of academics from Michigan State University, Washington University in St. Louis, Chinese Academy of Sciences, and the University of Nebraska-Lincoin. The results were presented at the Network Distributed System Security Symposium (NDSS) on February 24 in San Diego.


Mysterious drone swarms flying at night are baffling US authorities

New Scientist

Mysterious drone swarms have been seen flying in Colorado, Nebraska and Wyoming at night since December, sometimes over locations believed to house nuclear missile silos. A federal task force has been formed to investigate the drones' origin and purpose. The Phillips County Sheriff's Office in Colorado reported the first drones on 20 December. There have been hundreds of sightings since, some of groups of drones flying in grid patterns. Some observers assumed the drones were part of a military exercise, but the US Air Force has denied involvement.


FAA proposes rule change to force identification of Colorado, Nebraska drones

FOX News

Fox News Flash top headlines for Dec. 31 are here. Check out what's clicking on Foxnews.com One day after Colorado and western Nebraska counties reported a series of mysterious, nocturnal drone flights, the Federal Aviation Administration is promoting a rule change last week that requires most drones to be identifiable remotely, a report said Monday. The rule change, announced Thursday, have been in works for more than a year, FAA spokesman Ian Gregor said in an email to the Denver Post Monday. Under the legislation, law enforcement, federal security agencies and the FAA would be allowed to identify drones flying through their jurisdiction, the FAA said.


Colorado, Nebraska sheriffs puzzled by nocturnal drone flights

FOX News

Fox News Flash top headlines for Dec. 30 are here. Check out what's clicking on Foxnews.com A squadron of drones flying over the Midwest every night for nearly two weeks have left both residents and officials wondering who's flying them and what purpose they are serving, a report said Sunday. In the past week, three more rural counties have experienced nightly flyovers from the northeast corner of Colorado to at least one county in neighboring Nebraska, the Denver Post reported. Sheriffs in Lincoln, Washington and Sedgwick counties say their offices have been inundated with calls this week about the devices, the newspaper reported.


Large expert-curated database for benchmarking document similarity detection in biomedical literature search

#artificialintelligence

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations.


Nebraska researchers partner with Library of Congress

#artificialintelligence

How can the United States Library of Congress -- one of the world's largest repositories of information -- bring its collections into the digital age? It's a question library leadership has been attempting to answer, and a collaboration between the Library of Congress and University of Nebraska–Lincoln scholars and students has laid a strong foundation for machine learning to play a role in future digital strategies. In 2018, the Digital Strategy Division of the Library of Congress released a five-year digital strategy for the library, with a goal of maximizing the value of its collections for research. As part of that strategy, the library began seeking a collaboration to test machine learning across different materials, since the library's collections are so varied. The Aida digital libraries research lab, led by Husker researchers Elizabeth Lorang, associate professor in University Libraries, and Leen-Kiat Soh, professor of computer science and engineering, were awarded a research services contract following a call for proposals from the library.


Impact of Narrow Lanes on Arterial Road Vehicle Crashes: A Machine Learning Approach

arXiv.org Machine Learning

In this paper we adopted state-of-the-art machine learning algorithms, namely: random forest (RF) and least squares boosting, to model crash data and identify the optimum model to study the impact of narrow lanes on the safety of arterial roads. Using a ten-year crash dataset in four cities in Nebraska, two machine learning models were assessed based on the prediction error. The RF model was identified as the best model. The RF was used to compute the importance of the lane width predictors in our regression model based on two different measures. Subsequently, the RF model was used to simulate the crash rate for different lane widths. The Kruskal-Wallis test, was then conducted to determine if simulated values from the four lane width groups have equal means. The test null hypothesis of equal means for simulated values from the four lane width groups was rejected. Consequently, it was concluded that the crash rates from at least one lane width group was statistically different from the others. Finally, the results from the pairwise comparisons using the Tukey and Kramer test showed that the changes in crash rates between any two lane width conditions were statistically significant.


Valley Insights uses AI to identify irrigation needs - FutureFarming

#artificialintelligence

Valley Insights is the result of the partnership between Valley Irrigation and Prospera, which was announced earlier this year. According to Valley Irrigation, the Valley Insights limited release "has demonstrated successful results this growing season, turning data into useful, actionable information for growers in Washington and Nebraska. The service has exceeded expectations by already reaching its targeted goal of one million acres by 2020." We are gaining traction with the initial launch of Valley Insights. The partnership between Valley and Prospera has exceeded expectations by already reaching its targeted goal of one million acres by 2020.